dystrophy               package:ipred               R Documentation

_D_e_t_e_c_t_i_o_n _o_f _m_u_s_c_u_l_a_r _d_y_s_t_r_o_p_h_y _c_a_r_r_i_e_r_s.

_D_e_s_c_r_i_p_t_i_o_n:

     The 'dystrophy' data frame has 209 rows and 10 columns.

_U_s_a_g_e:

     data(dystrophy)

_F_o_r_m_a_t:

     This data frame contains the following columns:

     _O_B_S numeric. Observation number.

     _H_o_s_p_I_D numeric. Hospital ID number.

     _A_G_E numeric, age in years.

     _M numeric. Month of examination.

     _Y numeric. Year of examination.

     _C_K numeric. Serum marker creatine kinase.

     _H numeric. Serum marker hemopexin.

     _P_K numeric. Serum marker pyruvate kinase.

     _L_D numeric. Serum marker lactate dehydroginase.

     _C_l_a_s_s factor with levels, 'carrier' and 'normal'.

_D_e_t_a_i_l_s:

     Duchenne Muscular Dystrophy (DMD) is a genetically transmitted
     disease, passed from a mother to her children. Affected female
     offspring usually suffer no apparent symptoms, male offspring with
     the disease die at young age. Although female carriers have no
     physical symptoms they tend to exhibit elevated levels of certain
     serum enzymes or proteins. 
      The dystrophy dataset contains 209 observations of 75 female DMD
     carriers and 134 female DMD non-carrier. It includes 6 variables
     describing age of the female and the serum parameters serum marker
     creatine kinase (CK), serum marker hemopexin (H), serum marker
     pyruvate kinase (PK) and serum marker lactate dehydroginase (LD).
     The serum markers CK and H may be measured rather inexpensive from
     frozen serum, PK and LD requires fresh serum.

_S_o_u_r_c_e:

     D.Andrews and A. Herzberg (1985), Data. Berlin: Springer-Verlag.

_R_e_f_e_r_e_n_c_e_s:

     Robert Tibshirani and Geoffry Hinton (1998), Coaching variables
     for regression and classification. Statistics and Computing 8,
     25-33.

_E_x_a_m_p_l_e_s:

     ## Not run: 
     data(dystrophy)
     errorest(Class~CK+H~AGE+PK+LD, data = dystrophy, model = inbagg, 
     pFUN = list(list(model = lm, predict = mypredict.lm), list(model = rpart)), 
     ns = 0.75, estimator = "cv")
     ## End(Not run)

